Cargando…
Assessing the association between food environment and dietary inflammation by community type: a cross-sectional REGARDS study
BACKGROUND: Communities in the United States (US) exist on a continuum of urbanicity, which may inform how individuals interact with their food environment, and thus modify the relationship between food access and dietary behaviors. OBJECTIVE: This cross-sectional study aims to examine the modifying...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10510199/ https://www.ncbi.nlm.nih.gov/pubmed/37730612 http://dx.doi.org/10.1186/s12942-023-00345-4 |
_version_ | 1785107915313512448 |
---|---|
author | Algur, Yasemin Rummo, Pasquale E. McAlexander, Tara P. De Silva, S. Shanika A. Lovasi, Gina S. Judd, Suzanne E. Ryan, Victoria Malla, Gargya Koyama, Alain K. Lee, David C. Thorpe, Lorna E. McClure, Leslie A. |
author_facet | Algur, Yasemin Rummo, Pasquale E. McAlexander, Tara P. De Silva, S. Shanika A. Lovasi, Gina S. Judd, Suzanne E. Ryan, Victoria Malla, Gargya Koyama, Alain K. Lee, David C. Thorpe, Lorna E. McClure, Leslie A. |
author_sort | Algur, Yasemin |
collection | PubMed |
description | BACKGROUND: Communities in the United States (US) exist on a continuum of urbanicity, which may inform how individuals interact with their food environment, and thus modify the relationship between food access and dietary behaviors. OBJECTIVE: This cross-sectional study aims to examine the modifying effect of community type in the association between the relative availability of food outlets and dietary inflammation across the US. METHODS: Using baseline data from the REasons for Geographic and Racial Differences in Stroke study (2003–2007), we calculated participants’ dietary inflammation score (DIS). Higher DIS indicates greater pro-inflammatory exposure. We defined our exposures as the relative availability of supermarkets and fast-food restaurants (percentage of food outlet type out of all food stores or restaurants, respectively) using street-network buffers around the population-weighted centroid of each participant’s census tract. We used 1-, 2-, 6-, and 10-mile (~ 2-, 3-, 10-, and 16 km) buffer sizes for higher density urban, lower density urban, suburban/small town, and rural community types, respectively. Using generalized estimating equations, we estimated the association between relative food outlet availability and DIS, controlling for individual and neighborhood socio-demographics and total food outlets. The percentage of supermarkets and fast-food restaurants were modeled together. RESULTS: Participants (n = 20,322) were distributed across all community types: higher density urban (16.7%), lower density urban (39.8%), suburban/small town (19.3%), and rural (24.2%). Across all community types, mean DIS was − 0.004 (SD = 2.5; min = − 14.2, max = 9.9). DIS was associated with relative availability of fast-food restaurants, but not supermarkets. Association between fast-food restaurants and DIS varied by community type (P for interaction = 0.02). Increases in the relative availability of fast-food restaurants were associated with higher DIS in suburban/small towns and lower density urban areas (p-values < 0.01); no significant associations were present in higher density urban or rural areas. CONCLUSIONS: The relative availability of fast-food restaurants was associated with higher DIS among participants residing in suburban/small town and lower density urban community types, suggesting that these communities might benefit most from interventions and policies that either promote restaurant diversity or expand healthier food options. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12942-023-00345-4. |
format | Online Article Text |
id | pubmed-10510199 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-105101992023-09-21 Assessing the association between food environment and dietary inflammation by community type: a cross-sectional REGARDS study Algur, Yasemin Rummo, Pasquale E. McAlexander, Tara P. De Silva, S. Shanika A. Lovasi, Gina S. Judd, Suzanne E. Ryan, Victoria Malla, Gargya Koyama, Alain K. Lee, David C. Thorpe, Lorna E. McClure, Leslie A. Int J Health Geogr Research BACKGROUND: Communities in the United States (US) exist on a continuum of urbanicity, which may inform how individuals interact with their food environment, and thus modify the relationship between food access and dietary behaviors. OBJECTIVE: This cross-sectional study aims to examine the modifying effect of community type in the association between the relative availability of food outlets and dietary inflammation across the US. METHODS: Using baseline data from the REasons for Geographic and Racial Differences in Stroke study (2003–2007), we calculated participants’ dietary inflammation score (DIS). Higher DIS indicates greater pro-inflammatory exposure. We defined our exposures as the relative availability of supermarkets and fast-food restaurants (percentage of food outlet type out of all food stores or restaurants, respectively) using street-network buffers around the population-weighted centroid of each participant’s census tract. We used 1-, 2-, 6-, and 10-mile (~ 2-, 3-, 10-, and 16 km) buffer sizes for higher density urban, lower density urban, suburban/small town, and rural community types, respectively. Using generalized estimating equations, we estimated the association between relative food outlet availability and DIS, controlling for individual and neighborhood socio-demographics and total food outlets. The percentage of supermarkets and fast-food restaurants were modeled together. RESULTS: Participants (n = 20,322) were distributed across all community types: higher density urban (16.7%), lower density urban (39.8%), suburban/small town (19.3%), and rural (24.2%). Across all community types, mean DIS was − 0.004 (SD = 2.5; min = − 14.2, max = 9.9). DIS was associated with relative availability of fast-food restaurants, but not supermarkets. Association between fast-food restaurants and DIS varied by community type (P for interaction = 0.02). Increases in the relative availability of fast-food restaurants were associated with higher DIS in suburban/small towns and lower density urban areas (p-values < 0.01); no significant associations were present in higher density urban or rural areas. CONCLUSIONS: The relative availability of fast-food restaurants was associated with higher DIS among participants residing in suburban/small town and lower density urban community types, suggesting that these communities might benefit most from interventions and policies that either promote restaurant diversity or expand healthier food options. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12942-023-00345-4. BioMed Central 2023-09-20 /pmc/articles/PMC10510199/ /pubmed/37730612 http://dx.doi.org/10.1186/s12942-023-00345-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Algur, Yasemin Rummo, Pasquale E. McAlexander, Tara P. De Silva, S. Shanika A. Lovasi, Gina S. Judd, Suzanne E. Ryan, Victoria Malla, Gargya Koyama, Alain K. Lee, David C. Thorpe, Lorna E. McClure, Leslie A. Assessing the association between food environment and dietary inflammation by community type: a cross-sectional REGARDS study |
title | Assessing the association between food environment and dietary inflammation by community type: a cross-sectional REGARDS study |
title_full | Assessing the association between food environment and dietary inflammation by community type: a cross-sectional REGARDS study |
title_fullStr | Assessing the association between food environment and dietary inflammation by community type: a cross-sectional REGARDS study |
title_full_unstemmed | Assessing the association between food environment and dietary inflammation by community type: a cross-sectional REGARDS study |
title_short | Assessing the association between food environment and dietary inflammation by community type: a cross-sectional REGARDS study |
title_sort | assessing the association between food environment and dietary inflammation by community type: a cross-sectional regards study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10510199/ https://www.ncbi.nlm.nih.gov/pubmed/37730612 http://dx.doi.org/10.1186/s12942-023-00345-4 |
work_keys_str_mv | AT alguryasemin assessingtheassociationbetweenfoodenvironmentanddietaryinflammationbycommunitytypeacrosssectionalregardsstudy AT rummopasqualee assessingtheassociationbetweenfoodenvironmentanddietaryinflammationbycommunitytypeacrosssectionalregardsstudy AT mcalexandertarap assessingtheassociationbetweenfoodenvironmentanddietaryinflammationbycommunitytypeacrosssectionalregardsstudy AT desilvasshanikaa assessingtheassociationbetweenfoodenvironmentanddietaryinflammationbycommunitytypeacrosssectionalregardsstudy AT lovasiginas assessingtheassociationbetweenfoodenvironmentanddietaryinflammationbycommunitytypeacrosssectionalregardsstudy AT juddsuzannee assessingtheassociationbetweenfoodenvironmentanddietaryinflammationbycommunitytypeacrosssectionalregardsstudy AT ryanvictoria assessingtheassociationbetweenfoodenvironmentanddietaryinflammationbycommunitytypeacrosssectionalregardsstudy AT mallagargya assessingtheassociationbetweenfoodenvironmentanddietaryinflammationbycommunitytypeacrosssectionalregardsstudy AT koyamaalaink assessingtheassociationbetweenfoodenvironmentanddietaryinflammationbycommunitytypeacrosssectionalregardsstudy AT leedavidc assessingtheassociationbetweenfoodenvironmentanddietaryinflammationbycommunitytypeacrosssectionalregardsstudy AT thorpelornae assessingtheassociationbetweenfoodenvironmentanddietaryinflammationbycommunitytypeacrosssectionalregardsstudy AT mcclurelesliea assessingtheassociationbetweenfoodenvironmentanddietaryinflammationbycommunitytypeacrosssectionalregardsstudy |